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Integration of physics-informed operator learning and finite element method for parametric learning of partial differential equations2024 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Ahmad Moeineddin, Michael Kaliske, Markus Apel
0citations -
The PAU Survey: Photometric redshifts using transfer learning from simulations2020 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Martin Eriksen, Alex Alarcon, Laura Cabayol, J. Carretero, R. Casas, Francisco Javier Castander, +12 more
39citations -
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries2025 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei
1citations -
FLAMINGO: Calibrating large cosmological hydrodynamical simulations with machine learning2023 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Roi Kugel, Joop Schaye, Matthieu Schaller, John C Helly, Joey Braspenning, Carlos Silvestre Frenk, +13 more
7citations -
Surrogate-free machine learning-based organ dose reconstruction for pediatric abdominal radiotherapy2020 Physics in Medicine and Biology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Marco Virgolin, Ziyuan Wang, Brian V. Balgobind, Irma W.E.M. van Dijk, J. Wiersma, P.S. Kroon, +8 more
3citations -
A machine-learning classifier for LOFAR radio galaxy cross-matching techniques2022 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Radio Astronomy Observations and Technology Open access
L. Alegre, J. Sabater, P. N. Best, G. Gürkan, M. J. Hardcastle, R. Kondapally, +2 more
19citations -
The PAU Survey and Euclid: Improving broadband photometric redshifts with multi-task learning2023 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Laura Cabayol, Martin Eriksen, J. Carretero, R. Casas, Francisco Javier Castander, Enrique Fernandez, +94 more
12citations -
Euclid preparation. Measuring detailed galaxy morphologies for Euclid with Machine Learning2024 arXiv (Cornell University) preprint Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Euclid Collaboration, Ben Aussel, S. Kruk, M. Walmsley, Marc Huertas-Company, M Castellano, +94 more
0citations -
Recurrent neural networks as a physics-based self-learning solver to satisfy plane stress viscoplasticity undergoing isotropic damage2024 Mechanics Research Communications article Physics and Astronomy Model Reduction and Neural Networks Open access
Saurabh Balkrishna Tandale, Vasileios Polydoras, Marcus Stoffel
3citations -
A Finite Operator Learning Technique for Mapping the Elastic Properties of Microstructures to Their Mechanical Deformations2024 International Journal for Numerical Methods in Engineering article Physics and Astronomy Model Reduction and Neural Networks Open access
Shahed Rezaei, Reza Najian Asl, Shirko Faroughi, Mahdi Asgharzadeh, Ali Harandi, Rasoul Najafi Koopas, +3 more
27citations -
SPiFOL: A Spectral-based physics-informed finite operator learning for prediction of mechanical behavior of microstructures2025 Journal of the Mechanics and Physics of Solids article Physics and Astronomy Model Reduction and Neural Networks Open access
Ali Harandi, Hooman Danesh, Kevin Linka, Stefanie Reese, Shahed Rezaei
18citations -
FLAMINGO: calibrating large cosmological hydrodynamical simulations with machine learning2023 Monthly Notices of the Royal Astronomical Society article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Roi Kugel, Joop Schaye, Matthieu Schaller, John C Helly, Joey Braspenning, Willem Elbers, +14 more
89citations -
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains2024 Engineering With Computers article Physics and Astronomy Model Reduction and Neural Networks Open access
Yusuke Yamazaki, Mayu Muramatsu, Alexandre Viardin, Markus Apel, Tim Brepols, Stefanie Reese, +1 more
39citations -
Improving timing resolution of BGO for TOF-PET: a comparative analysis with and without deep learning2025 EJNMMI Physics article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Francis Loignon-Houle, N. Kratochwil, Maxime Toussaint, Carsten Lowis, Gerard Ariño‐Estrada, Antonio J. González, +2 more
9citations -
A multi-centre evaluation of deep learning based radiotherapy planning for left-sided node-negative breast cancer2025 Physics and Imaging in Radiation Oncology article Physics and Astronomy Advanced Radiotherapy Techniques Open access
Marlie Besouw, Niels van Acht, Dave van Gruijthuijsen, Thérèse van Nunen, Jorien van der Leer, Maurice van der Sangen, +7 more
1citations -
Photometric Classifications of Evolved Massive Stars: Preparing for the Era of Webb and Roman with Machine Learning2021 The Astrophysical Journal article Physics and Astronomy Stellar, planetary, and galactic studies Open access
Trevor Z. Dorn-Wallenstein, James R. A. Davenport, Daniela Huppenkothen, Emily M. Levesque
11citations